HVAC Research Intern: ML Diagnostics & Simulations

Bosch Group; Singapore; Sur place; SGD 20 000 - 27 000; Plein temps

Résumé du poste

Bosch Group invites a motivated intern to join as an HVAC Research intern for a 6-month period in Singapore. You will study refrigeration cycles, develop models, and apply machine learning to diagnose and predict anomalies in HVAC systems.

Ideal candidates are pursuing or have completed a master's in Mechanical or Energy Engineering, with strong Python and ML experience. This paid internship offers hands-on experience in a corporate environment and exposure to real-world projects.

Qualifications

• Currently pursuing or recently completed a master's degree in Mechanical Engineering, Energy Engineering, Applied Physics, or a related discipline.
• Strong knowledge of HVAC systems, refrigeration cycles, controls, and ML fundamentals.
• Proficiency in Python with AI/ML frameworks (PyTorch, TensorFlow, Scikit-learn) or MATLAB/Dymola.
• Self-motivated with strong problem-solving, communication, and presentation skills.

Responsabilités

• Study refrigeration cycle fundamentals and analyze HVAC system behavior under various operating conditions and fault scenarios.
• Develop first-principles and physics-guided models to characterize normal and abnormal system operation; support simulations and experiments.
• Perform data analysis, feature extraction, and develop anomaly prediction and diagnostic algorithms.
• Validate diagnostic methodologies using simulation and experimental results.
• Participate in technical discussions on refrigeration systems, controls, and system diagnostics.
• Prepare technical reports, research presentations, and project demonstrations for stakeholders.

Connaissances

HVAC systems

Refrigeration cycles

Controls

ML fundamentals

Python

AI/ML frameworks

MATLAB

Formation

Master's degree in Mechanical Engineering

Outils

PyTorch

TensorFlow

Scikit-learn

MATLAB

Dymola

Description du poste

Bosch Group invites a motivated intern to join as an HVAC Research intern for a 6-month period in Singapore. You will study refrigeration cycles, develop models, and apply machine learning to diagnose and predict anomalies in HVAC systems.

Ideal candidates are pursuing or have completed a master's in Mechanical or Energy Engineering, with strong Python and ML experience. This paid internship offers hands-on experience in a corporate environment and exposure to real-world projects.